513 search results - page 79 / 103 » Metric learning for reinforcement learning agents |
92
Voted
IIE
2007
15 years 12 days ago
2007
We investigate the possibility to apply a known machine learning algorithm of Q-learning in the domain of a Virtual Learning Environment (VLE). It is important in this problem doma...
CEEMAS
2005
Springer
15 years 6 months ago
2005
Springer
We show that reputation is a basic ingredient in the Virtual Organisation (VO) formation process. Agents can use their experiences gained in direct past interactions to model other...
101
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ATAL
2009
Springer
15 years 7 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
117
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ICAC
2009
IEEE
14 years 10 months ago
2009
IEEE
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
SMC
2007
IEEE
15 years 6 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...